AI LLM

This page introduces practical AI application patterns built on Flashgate’s OpenAI-compatible AI Gateway.

The goal is to help teams deploy production-grade LLM workflows with:

• centralized credential management,

• repository-level API keys,

• policy enforcement and observability,

• model/provider portability.

Available use cases

• Multi-model fallback and reliability routing

• Cost guardrails with automatic model tiering

• PII-safe support assistant with policy enforcement

• RAG knowledge assistant over multi-cloud storage

Before you start

Make sure you have:

1. At least one configured AI provider in Flashgate (AI → AI LLM).

2. A repository exposing an OpenAI-compatible endpoint.

3. Repository API keys for your application.

4. Optional governance rules in AI Policy for production workloads.